Supply Chain Management (SCM) practices and organizational performance are looked at in this study through a detailed case study of GXO Logistics, which became the largest pure-play contract logistics provider in the world when it split off from XPO Logistics in August 2021. The study looks at how modern SCM practices, like automating tasks, integrating technology, and promoting sustainability, help with business efficiency and strategic success. The study uses a mixed-methods approach that includes both quantitative performance measures and qualitative insights from interviews with stakeholders to look at how GXO implemented advanced SCM practices during its most important formative years, 2021–2022. The results show that there are strong links between strategic SCM initiatives and organizational success. For instance, GXO had its best quarterly sales and adjusted EBITDA ever in the fourth quarter of 2021.GXO's quick success shows how good SCM practices can improve the performance of an organization. By the end of 2021, the company will have 195 million square feet of space in about 900 facilities around the world. The study adds to both the theoretical knowledge and practical applications of SCM. It gives logistics companies useful information for improving their operations in a world market that is getting more complicated. According to the results, strategic investments in automation (with 30% of warehouses adopting next-generation innovations), along with environmentally friendly practices and partnerships, make operations much more efficient and help them compete in the market. This study lays out a framework for understanding how modern logistics companies can use SCM techniques to achieve long-term growth and operational success.

The primary objective of this study is to determine how different supply chain management (SCM) approaches affect how well DPD Logistics runs its business. The research examines the impact of digital transformation, operational integration, and long-term initiatives on three critical aspects of a company's performance: profitability, operational efficiency, and customer satisfaction. This study uses a variety of methods to fill in the gaps in our knowledge of how to manage transportation. New supply chain strategies help firms remain ahead of the competition by allowing them to change with the times. The results show that DPD's strategic supply chain management (SCM) efforts have improved the company's measurable results. This is particularly relevant for projects like becoming digital, keeping track of stock, and using green logistics. The organization will be able to ship and manage more than 2.1 billion items throughout the world by 2024. Thanks to integrated supply chain management systems, this is possible. This study shows that different needs can be met in different ways. Supply chain management has become more open and flexible because of the introduction of new technologies such as data-driven forecasting and automated storage. The service is not as pleasant or as inexpensive as they were in the past. This research enhances the existing knowledge of supply chain management (SCM). To do this, people look at things from the Resource-Based View (RBV) and Systems Theory points of view. Transportation workers can also use the information to help supply lines run better and be more competitive. The study reveals that transportation businesses may do better with SCM if they apply modern technologies and green ideas.

This paper examines the impact of digital financial inclusion on poverty reduction in Nigeria. The study is motivated by the report on the financial Inclusion Insights (FII), (2017) and (2022) which revealed that about 65.0% of the adult populace was financially excluded without any form of access to financial services. Data collection techniques employed was self-administered questionnaire. The questionnaire were administered to a total of 538 household that are financially included in rural area from the North-West region of Nigeria, by using convenient and simple random sampling techniques to select the sample. In analyzing the relationship among the variables, a Partial Least Square (PLS)-Structural Equation Modeling (SEM) technique was adopted. The findings of the study revealed that there is a positive and strong significant relationship between the digital financial inclusion and poverty reduction. The paper recommends the digital financial inclusion to be more robust in the rural areas, provide services at any time and any place through mobile terminals such as mobile phones and provide internet services across localities.

The main objective of this study is to examine the effect of entrepreneurial orientation on business performance of women own enterprises in North-West region of Nigeria. Data were collected from the women own enterprises operating in North-West region of Nigeria using a cross-sectional study design. The study adopted convenient and simple random sampling techniques to select the sample by using Krejcie and Morgan formula to selected 234 respondents. Questionnaires were distributed and collected through the personally-administered method. In analyzing the relationship among the study variables, Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to test the study hypotheses. This study finds that risk taking, competitive aggressiveness, and autonomy are important strategic orientations for the performance of women own enterprises in North-West region of Nigeria. Therefore, drawing upon liberal feminist theory, this study examined the roles of entrepreneurial orientation is buffering the influence entrepreneurial orientation on survival of women own enterprises. The also revealed that innovativeness does not support this expectation as innovativeness has a significant negative influences on business performance. Interestingly, entrepreneurial orientation has a significant positive relationship with business performance. Finally, this study has succeeded in validating the aforementioned conceptualization as well as advancing significant theoretical and practical contributions to both researchers and business owners/managers for further understanding on the influence of entrepreneurial orientation on the business performance. This study propose that this kind of study could be extended to microfinance bank services on business survival of women own enterprises.

To determine how college teachers' job satisfaction, socioeconomic status, and family monthly income relate to one another in Mohammadpur, Dhaka. A purposive sample of one hundred instructors was used in a cross-sectional study design. The instrument of measurement was job satisfaction (Khaleque, 1980). The correlation results show that job satisfaction [r=.402, p<.05] and socioeconomic status [r=.739, p<.01] are significantly positively correlated with family monthly income. The socioeconomic position of teachers, however, was a small but significant predictor, accounting for 16.1% (R2 =.161, p =.001) of the variation in job satisfaction scores. According to these results, if socioeconomic circumstances improve, educators might be happier in their positions. The study adds to our understanding of how professional satisfaction in Bangladesh's academic community is influenced by social and economic positions.

Foreign Direct Investment (FDI) has been a driving force behind digital inclusion and economic transformation in India from 2000 to 2023. Employing a combination of descriptive and analytical methodologies, the research investigates the relationship between FDI inflows and key indicators of digital infrastructure, including internet usage, mobile and broadband subscriptions, fixed telephone lines, and digital payment transactions. The findings reveal that FDI has significantly contributed to the expansion of telecommunication networks, enhanced broadband accessibility, and accelerated the shift towards cashless transactions, marking a transition from traditional systems to a more digitally integrated economy. The study highlights how policy interventions, such as demonetisation, have intensified the digital adoption process. Despite these advancements, notable disparities in internet and broadband access persist, pointing to the need for more inclusive digital strategies. The study underscores FDI’s instrumental role in shaping India's digital landscape, fostering technological inclusivity, and driving sustainable economic growth through innovation, infrastructure development, and evolving business environments.

Social media significantly influences the moral values and behaviors of Muslim youth in Kano State, Nigeria, offering benefits such as educational resources, networking opportunities, and community building, while simultaneously exposing them to inappropriate content, cyberbullying, and trends that may conflict with Islamic values. Hence, the rapid spread of digital technology creates both possibilities and disadvantages for Muslim youth in Nigeria, especially in Kano State, where religion and cultural beliefs have a considerable impact on social standards. This duality creates dilemmas for young people as they navigate the digital landscape, striving to balance social connectivity with their moral and religious principles. This research investigates the "digital dilemma" confronting young Muslims, examining how social media effects their religious identity, ethical ideals, and socio-political activity. The study looks at both the good and bad effects of digital platforms, emphasising issues including exposure to hazardous information, cyber dangers, and the loss of traditional values. At the same time, it investigates how faith-based digital literacy and smart social media activity might help Muslim adolescents manage these problems while upholding Islamic ideals. Using qualitative and quantitative methods, this research evaluates the role of religious academics, community leaders, and digital influencers in encouraging teenagers towards responsible and productive social media usage. The findings imply that combining faith-based concepts with digital literacy initiatives may assist Muslim adolescents in reaping the advantages of social media while minimising its hazards. The study finishes with bold recommendations for promoting a balanced and purposeful online presence, such as ethical digital participation, legislative advocacy, and community-driven projects.

Artificial intelligence (AI) has emerged as a crucial impact in predictive logistics, bringing about a fundamental shift in the way firms forecast demand, optimize routes, and manage their supplies. This transition has been brought about by the introduction of AI. The utilization of this technology in supply chain management systems results in an increase in precision, a decrease in ambiguity, and the facilitation of logistics planning that is both cost-effective and efficient. Backend operations are improved by predictive analytics that are powered by artificial intelligence, which also makes it possible to create hyper-personalized marketing campaigns that can react to the behavior of customers and the estimated delivery timeframes of their orders. Because of this dual capacity, firms can build customized promotions that are in line with their operations, improve the experiences of their customers, and raise the percentage of customers that convert. Recent studies have shown that artificial intelligence has the potential to reduce the errors of supply chain forecasting by 20–50% and the expenditures associated with logistics by as much as 15%. More specifically, this is the case when it comes to demand-oriented inventory management and enhanced route optimization. Additionally, artificial intelligence systems that are combined with customer relationship management (CRM) provide adaptive marketing and proactive consumer engagement, which considerably increases the tailoring of outreach programs. The combination of these two technologies enables all of this. Despite these advantages, the utilization of artificial intelligence raises concerns around the costs of integration, the management of data, and the shifting role of human decision-makers inside AI-enhanced systems. This paper analyzes the function of AI in predictive logistics across four principal domains: marketing customization, economic efficiency, operational logistics, and enterprise systems integration. It also examines ethical issues and the necessity for transparent, accountable AI use in corporate settings. This paper looks at how AI-based predictive logistics affects marketing success and company efficiency by reviewing existing research, industry data, and real-life examples, and it also offers ideas for how to adopt these strategies and areas for more research.

Student enrolment, financial challenges, technology integration, and curriculum diversification have increasingly competition among higher education institutions. The ideal future workforce must possess not only technical expertise but also strong skills in complex problem solving, critical thinking, creativity, human resource management, and teamwork. In addition to analytical and leadership capabilities, these competencies are essential for thriving in a rapidly evolving digital economy. However, limited study has been conducted to assess Indonesia's readiness to engage with this digital transformation. The aim of this study to examine the correlation of 4.0 educational adaptation and school management on student performance in higher education in Borobudur University. This study uses applied research with a cross-sectional design to examine the impact of technological infrastructure and faculty management on student’s performance. The population consists of employee at Borobudur University with a sample 40 respondents including leaders, lecturer and education staff. The result found that, the bivariate analysis of technological infrastructure, strategic planning and policy making, operational management, student assessment have significant relationship with performance. p value 0.000. The final model the variable technological structure significant correlation and operational management as confounding factor of student assessment R 0.603, RR 0,364 (36.4%) VIF 2.955.; Strategic planning and policy making was significant with Student performance and technological infrastructure as confounding factor with student performance R 00,609, R2 0,371 (37.1%), VIF 2,277. Student performance, student assessment significant correlation with Student Performance R 0,460, R2 0211 (21,1%), p 0.003, VIF 1.000. Conclusion technological infrastructure and operational management correlation with student assessment; strategic planning and policy and technological infrastructure correlation with student performance; student performance significant correlation with student performance.